code: def get_synthetic_datasets():
      # vocab_size is 10000 and length of the real data is 2049990.
      lm_dataset = torch.randint(1, 10000, (2049990,))
      return DatasetsInfo(10000, lm_dataset, lm_dataset, lm_dataset)
  
file_path: fairscale/benchmarks/datasets/wikitext2_data.py
imports: from collections import namedtuple
  from distutils.version import LooseVersion
  import io
  import operator
  import tempfile
  import torch
  from torch.utils.data import DataLoader
  from torch.utils.data.distributed import DistributedSampler
  import torchtext
  from torchtext.data.utils import get_tokenizer
  from torchtext.utils import download_from_url, extract_archive
label_desc: Use image node_id 6 for calling a global function with example usage: get_synthetic_datasets() and returns: DatasetsInfo